Top DevOps Jobs in Dublin

Lead and develop a high-performing sales and customer success enablement team across EMEA. Design, deliver, and optimize scalable training, coaching, curriculum, and learning programs for go-to-market teams. Partner with cross-functional leaders and subject matter experts to identify performance gaps, create targeted solutions, represent field needs, and measure business impact. Responsibilities include facilitating global training events, classroom sessions, e-learning, sales kickoffs, QBRs, and coaching programs.

Designs and supports cloud-native infrastructure, automation, landing zones, network and security infrastructure across AWS regions. Builds and maintains infrastructure-as-code modules, CI/CD tools, developer platform services, and migration tooling. Establishes coding standards, tests internal tools, mentors developers, and leads critical platform features at scale.

Lead cloud security strategy for Data and AI/ML services on GCP. Assess technology controls and risks, advise teams on secure cloud architectures, review infrastructure-as-code, maintain security documentation, and collaborate with security operations, threat intelligence, IAM, and network security teams. The role also supports agile security initiatives, mentors junior engineers, and promotes secure and compliant public-cloud implementations.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, APIs, microservices, and event-driven applications. Collaborate with product, architecture, business analysis, quality, and engineering teams throughout design, testing, deployment, and operations. Troubleshoot production issues, contribute to technical architecture, improve engineering practices, automate delivery, document designs, and apply AI-assisted development practices.

Designs, develops, tests, deploys, and supports scalable Java-based distributed systems for Mastercard’s real-time decisioning platform. Builds resilient microservices and APIs, collaborates in Agile teams, troubleshoots production issues, contributes to architecture and technical documentation, and promotes automation, DevOps, security, observability, and continuous improvement. The role also applies AI-assisted engineering practices across the software development lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Responsibilities include developing distributed microservices, REST APIs, and event-driven systems; contributing to architecture, testing, deployment, observability, and operational excellence; troubleshooting production issues; collaborating with cross-functional Agile teams; evaluating technologies; and applying AI-assisted engineering practices. The role focuses on secure, resilient, high-performance software supporting payment intelligence, fraud prevention, and risk management.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Responsibilities include developing resilient distributed systems, REST APIs, microservices, and event-driven applications; collaborating in Agile teams; contributing to architecture, testing, deployment, and operational excellence; troubleshooting production issues; improving engineering practices; and using AI-assisted development throughout the software lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Responsibilities include developing resilient distributed systems, REST APIs, microservices, event-driven applications, and data-intensive solutions; contributing to architecture, testing, deployment, monitoring, and operational excellence; troubleshooting production issues; collaborating in Agile teams; and applying AI-assisted engineering practices throughout the software development lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient distributed systems, REST APIs, microservices, and event-driven applications; contributes to architecture, testing, deployment, monitoring, troubleshooting, and operational excellence. Collaborates with product, architecture, quality, and engineering teams in Agile environments while applying automation, cloud-native practices, and AI-assisted development to improve platform reliability and scalability.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient distributed systems, REST APIs, microservices, and event-driven solutions; contributes to architecture, testing, deployment, observability, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, drives automation and continuous improvement, and applies AI-assisted development practices.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient distributed systems, REST APIs, microservices, and event-driven solutions; contributes to architecture, testing, deployment, monitoring, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, improves engineering practices, and uses AI-assisted development throughout the software lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Responsibilities include building resilient distributed systems, REST APIs, microservices, event-driven solutions, and cloud-native applications; contributing to architecture, testing, deployment, monitoring, and operational excellence; troubleshooting production issues; collaborating in Agile teams; evaluating technologies; and applying AI-assisted engineering practices.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, and microservices; contribute across architecture, implementation, testing, deployment, and operations. Collaborate with product, architecture, quality, and engineering teams; troubleshoot production issues, improve platform capabilities, apply engineering best practices, and use AI-assisted development throughout the software lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds secure, resilient distributed systems, REST APIs, microservices, and event-driven applications; contributes to architecture, testing, deployment, monitoring, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, recommends technology improvements, and applies AI-assisted development practices. The role supports real-time decisioning for fraud prevention, risk management, and payment intelligence.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, scalable microservices, and high-throughput, low-latency systems. Provides technical leadership across architecture, security, compliance, project planning, and software delivery. Develops in Java, Python, and Go; mentors engineers; drives engineering excellence; and applies automation, performance tuning, resilient design, databases, and AI technologies such as generative AI and LLMs.

Leads modernization of fraud rules and engine platforms, large-scale migrations, and development of highly scalable, secure, low-latency systems. Provides architectural leadership, drives early-stage engineering projects, ensures compliance with technical standards, mentors developers, and collaborates across teams. Requires hands-on expertise in Java, Python, or Go; microservices, distributed systems, databases, DevOps, security, and high-availability platforms, with familiarity with generative AI and LLMs.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, architecture, scalable software development, and early-stage project delivery. Provides technical leadership across cross-functional teams, mentors engineers, ensures security and architectural compliance, and drives engineering excellence. Designs high-throughput, low-latency distributed systems using Java, Python, Go, databases, microservices, and emerging AI technologies. Supports planning, estimation, performance tuning, automation, and continuous improvement.

Lead modernization of fraud rules and engine platforms, driving large-scale migrations and scalable, low-latency software development. Provide architectural leadership, ensure security and compliance, guide project planning, mentor engineers, and promote engineering excellence. Develop and review secure code across Java, Python, and Go while supporting distributed systems, databases, DevOps practices, AI-enabled fraud solutions, and continuous improvement.

Leads modernization of fraud rules and engine platforms, large-scale migrations, and scalable distributed software development. Provides architectural direction, ensures security and compliance, drives early-stage projects, mentors engineers, and promotes engineering excellence. Develops high-quality software in Java, Python, and Go while designing high-throughput, low-latency systems. Responsibilities include project estimation, technical leadership, performance tuning, automation, documentation, and collaboration across teams.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, scalable distributed systems, and high-throughput services. Provides architectural direction, ensures security and compliance, leads early-stage software projects, mentors engineers, and drives engineering excellence. Develops secure code in Java, Python, and Go while applying microservices, database, automation, performance-tuning, and reliability best practices. Familiarity with generative AI and LLMs for fraud rules is also expected.

Leads modernization of high-throughput fraud rule platforms and large-scale migrations. Provides architectural direction, designs secure and scalable distributed systems, leads software development projects, and ensures alignment with business, infrastructure, and security requirements. Codes in Java, Python, and Go; mentors engineers; drives technical excellence; and supports planning, estimation, performance tuning, automation, and continuous improvement across global platforms.

Leads modernization of fraud rules and engine platforms, including large-scale migrations and scalable, high-throughput systems. Provides technical leadership across architecture, design, security, compliance, planning, estimation, and delivery. Develops secure software in Java, Python, and Go, mentors engineers, drives engineering excellence, and collaborates cross-functionally. Requires expertise in microservices, distributed systems, databases, DevOps, performance tuning, automation, and software development processes.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, architecture, scalable software development, and early-stage project delivery. Provides technical thought leadership, ensures architectural and security compliance, mentors engineers, and drives engineering excellence. Develops secure, high-quality code in Java, Python, and Go while designing highly available, low-latency distributed systems. Applies expertise in microservices, databases, DevOps, performance tuning, automation, and financial or banking technology.

Leads modernization of fraud rules and engine platforms, including large-scale migrations and early-stage software projects. Provides architectural guidance, ensures security and compliance, mentors engineers, and drives engineering excellence. Develops scalable, high-throughput, low-latency systems using Java, Python, Go, microservices, relational and NoSQL databases. Collaborates cross-functionally on requirements, planning, estimation, technical design, and continuous improvement.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, operational readiness, and production issue resolution across distributed platforms. Partners with product, business, architecture, and engineering teams to deliver secure, scalable, resilient solutions; drives automation, engineering standards, technical roadmaps, reliability, performance, and developer productivity. Influences cross-functional initiatives, mentors engineers, and contributes to architecture forums and engineering communities.